MACHINE LEARNING AND ITS APPLICATION IN SEISMOLOGY

Machine learning and its application in seismology

It is an inherently challenging scientific endeavor to understand and predict multi-scale, high-dimensional and nonlinear seismological phenomena.The increasing RUGS amount of observational big data breaks the linkage between data collection and interpretation, and increases the obscurity and uncertainty in data analysis.However, there is also arti

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Historical and contemporary DNA indicate fisher decline and isolation occurred prior to the European settlement of California.

Establishing if species contractions were the result of natural phenomena or human induced landscape changes is essential for managing natural populations.Fishers (Martes pennanti) in California occur in two geographically and genetically isolated populations in the northwestern mountains and southern Sierra Nevada.Their isolation is hypothesized t

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